• 한국재난정보학회 논문집
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• 제16권1호
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• pp.21-33
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• 2020

연구목적: 본 연구는 우리나라의 229개 기초지자체 권역을 대상으로 지역특성을 고려한 효과적인 지역 제설 대응체계를 구축할 수 있도록 과거의 지역별 강설특성과 강설시간을 이용하여 강설지역 유형을 구분하는 것을 목적으로 한다. 연구방법: 본 연구를 위해 우선적으로 기상관측소 기준의 강설 데이터를 수집하였고, 연속 강설 시간을 이용하여 지역유형을 구분하였다. 마지막으로 GIS분석기법을 적용하여 강설지역 유형에 대한 정보를 GIS지도로 제작하였다. 연구결과: 지역유형을 분류한 결과 '눈이 자주 많이 오는 지역', '눈이 자주 조금 오는 지역', '눈이 가끔 많이 오는 지역', '눈이 보통 오는 지역', '눈이 희박한 지역' 등 총 5개의 강설 지역유형이 도출되었다. 결론: 본 연구의 결과는 효율적인 제설대응체계 구축을 위한 제설 장비, 자재, 차량, 인력의 지역별 수요를 추정하는데 기초정보로 활용될 수 있다.

• 한국농공학회논문집
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• 제49권3호
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• pp.33-40
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• 2007

This study is to grasp and analyse the temporal and spatial distribution of record-breaking heavy snowfall rarely occurred in the middle and southwest region of South Korea during March of 2004 and December of 2005 respectively. Snow cover area was extracted using the channels 1, 3 and 4 of NOAA AVHRR images and the snow depth distribution was spatially interpolated using snowfall data of meteorological stations. Using administration boundary and Digital Elevation Model from 1:5,000 NGIS digital map, the snowfall impact was assessed spatially and compared with the reports at that time. The damaged area by heavy snowfall over 15 cm snow depth could be identified successfully within the spatial extent of snowfall area extracted by NOAA AVHRR image.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.110-113
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• 2006

This study is to grasp and analyse the temporal and spatial distribution of record-breaking heavy snowfall rarely occurred in the middle and southwest region of South Korea during March of 2004 and December of 2005 respectively. Snow cover area was extracted using the channels 1, 3 and 4 of NOAA AVHRR images and the snow depth distribution was spatially interpolated using snowfall data of meteorological stations. Using administration boundary and Digital Elevation Model from 1:5,000 NGIS digital map, the snowfall impact was assessed spatially and compared with the reports at that time.

• 한국환경과학회지
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• 제18권11호
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• pp.1271-1281
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• 2009

The heavy snowfall event over the eastern part of Seoul, Korea on Mar. 04, 2008 has been abruptly occurred after the frontal system with the heavy snowfall event had been past over the Korean peninsula on Mar. 03, 2008. Therefore, this heavy snowfall event couldn't be predicted well by any means of theoretical knowledges and models. After the cold front passed by, the cold air mass was flown over the peninsula immediately and became clear expectedly except the eastern part and southwestern part of peninsula with some large amount of snowfall. Even though the wide and intense massive cold anticyclone was expanded and enhanced by the lowest tropospheric baroclinicity over the Yellow Sea, but the intrusion and eastward movement of cold air to Seoul was too slow than normally predicted. Using the data of numerical model, satellite and radar images, three dimensional analysis Products(KLAPS : Korea Local Analysis and Prediction System) of the environmental conditions of this event such as temperature, equivalent potential temperature, wind, vertical circulation, divergence, moisture flux divergence and relative vorticity could be analyzed precisely. Through the analysis of this event, the formation and westward advection of lower cyclonic circulation with continuously horizontal movement of air into the eastern part of Seoul by the analyses of KLAPS fields have been affected by occurring the heavy snowfall event. As the predictability of abrupt snowfall event was very hard and dependent on not only the synoptic atmospheric circulation but also for mesoscale atmospheric circulation, the forecaster can be predicted well this event which may be occurred and developed within the very short time period using sequential satellite images and KLAPS products.

• 대기
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• 제29권3호
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• pp.269-282
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• 2019

While it is important to obtain the accurate information on snowfall data due to the increase in damage caused by the heavy snowfall in the winter season, it is not easy to observe the snowfall quantitatively. Recently, snow measurements using a weighing precipitation gauge have been carried out, but there is a problem that high snowfall intensity results in low accuracy. Also, the observed snowfall data are sensitive depending on wind speed, temperature, and humidity. In this study, a new process of quality control for snow water equivalent (SWE) data of the weighing precipitation gauge were proposed to cover the low accuracy of snow data and maximize the data utilization. Snowfall data (SWE) observed by Pluvio, Parsivel, snow-depth meter using laser or ultrasonic, and rainfall gauge in Cloud Physics Observation Site (CPOS) were compared and analyzed. Applying the QC algorithm including the use of number of hydrometeor particles as reference, the increased SWE per the unit time was determined and the data noise was removed and marked by flag. The SWE data converted by the number concentration of hydrometeor particles are tested as a method to restore the QC-removed data, and show good agreement with those of the weighing precipitation gauge, though requiring more case studies. The three events data for heavy snowfall disaster in Pyeongchang area was analyzed. The SWE data with improved quality was showed a good correlation with the eye-measured data ($R^2$ > 0.73).

• 한국환경과학회지
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• 제28권9호
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• pp.765-784
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• 2019

The synoptic structural characteristics associated with heavy snowfall (Bukgangneung: 31.3 cm) that occurred in the Yeongdong area on 20 January 2017 was investigated using surface and upper-level weather charts, European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis data, radiosonde data, and Moderate Resolution Imaging Spectroradiometer (MODIS) cloud product. The cold dome and warm trough of approximately 500 hPa appeared with tropopause folding. As a result, cold and dry air penetrated into the middle and upper levels. At this time, the enhanced cyclonic potential vorticity caused strong baroclinicity, resulting in the sudden development of low pressure at the surface. Under the synoptic structure, localized heavy snowfall occurred in the Yeongdong area within a short time. These results can be confirmed from the vertical analysis of radiosonde data and the characteristics of the MODIS cloud product.

• 한국정보통신학회논문지
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• 제18권3호
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• pp.713-718
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• 2014

본 논문에서는 국내 겨울철 폭설과 같은 재난 발생시 각 지자체 별로 확보되어 있는 제설차량을 효과적으로 운영하고 제설현장 정보 및 차량의 이동성을 실시간으로 모니터링하여 폭설 재난현장에 대해 신속히 대처할 수 있는 실시간 모니터링 시스템을 제안하였다. 또한, 제안 시스템에서 중계단말의 효과적인 진단 및 각종 제어정보를 분석할 수 있는 중계단말 분석 도구를 설계하였다. 제안한 시스템은 폭설시 제설차량의 위치정보와 제설작업을 위한 차량제어정보 및 제설작업 상태정보를 실시간으로 모니터링 함으로써 짧은 시간에 효과적인 작업진행과 실시간 이동경로추적을 통하여 폭설 재난상황에 대한 효과적인 응급대처가 가능한 시스템이다.

• 한국환경과학회지
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• 제23권8호
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• pp.1481-1493
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• 2014

In order to understand the relation between the distribution of sea surface temperature and heavy snowfall over western coast of the Korean peninsula, several numerical assessments were carried out. Numerical model used in this study is WRF, and sea surface temperature data were FNL(National Center for Environment Prediction-Final operational global analysis), RTG(Real Time Global analysis), and OSTIA(Operational Sea Surface Temperature and Sea Ice Analysis). There were produced on the basis of remote sensing data, such as a variety of satellite and in situ observation. The analysis focused on the heavy snowfall over Honam districts for 2 days from 29 December 2010. In comparison with RTG and OSTIA SST data, sensible and latent heat fluexes estimated by numerical simulation with FNL data were higher than those with RTG and OSTIA SST data, due to higher sea surface temperature of FNL. General distribution of RTG and OSTIA SST showed similar, however, fine spatial differences appear in near western coast of the peninsula. Estimated snow fall amount with OSTIA SST was occurred far from the western coast because of higher SST over sea far from coast than that near coast. On the other hand, snowfall amount near coast is larger than that over distance sea in simulation with RTG SST. The difference of snowfall amount between numerical assessment with RTG and OSTIA is induced from the fine difference of SST spatial distributions over the Yellow sea. So, the prediction accuracy of snowfall amount is strongly associated with the SST distribution not only over near coast but also over far from the western coast of the Korean peninsula.

• 대기
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• 제26권1호
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• pp.19-33
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• 2016

Water vapor in the atmosphere is an important element that generates various meteorological phenomena and modifies a hydrological cycle. In general, the Yeongdong region has a lot of snow compared to the other regions in winter due to the complex topography and an adjacent East Sea. However, the phase change from water vapor to ice cloud and further snowfall has little been examined in detail. Therefore, in this study, we investigated phase change of liquid water in terms of a quantitative budget as well as time lag of water vapor conversion to snowfall in the ESSAY (Experiment on Snow Storms At Yeongdong) campaign that had been carried out from 2012 to 2015. First, we classified 3 distinctive synoptic patterns such as Low Crossing, Low Passing, and Stagnation. In general, the amount of water vapor of Low Crossing is highest, and Low Passing, Stagnation in order. The snowfall intensity of Stagnation is highest, whereas that of Low Crossing is the lowest, when a sharp increase in water vapor and accordingly a following increase in precipitation are shown with the remarkable time lag. Interestingly, the conversion rate of water vapor to snowfall seems to be higher (about 10%) in case of the Stagnation type in comparison with the other types at Bukgangneung, which appears to be attributable to significant cooling caused by cold surge in the lower atmosphere. Although the snowfall is generally preceded by an increase in water vapor, its amount converted into the snowfall is also controlled by the atmosphere condition such as temperature, super-saturation, etc. These results would be a fundamental resource for an improvement of snowfall forecast in the Yeongdong region and the successful experiment of weather modification in the near future.

• 한국측량학회지
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• 제30권1호
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• pp.97-104
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• 2012

본 연구에서는 2011년 강원도 영동 지방의 폭설 기간 동안 GPS 위성 신호의 대류권 지연량 추정으로부터 대기 가강수량을 복원하였다. 폭설이 발생하는 기간 동안에 GPS 가강수량과 신적설 발생량과의 상관관계에 대한 분석을 실시하였다. 분석 결과, GPS를 이용하여 복원한 대류권에서의 가강수량 증가가 발생된 이후에 강설량이 증가하는 추세를 나타냈다. 또한 웨이블릿을 이용한 주기 분석에서는 본 연구기간에 한해서 GPS 가강수량의 주기가 포화수증기압의 주기와 유사한 것으로 검출되었다. GPS 가강수량의 감소와 이에 대응하는 신적설량의 증감은 두 연구 지역인 강릉과 울진에서 모두 다르게 증감하는 경향을 나타냈다. 폭설 기간 동안 GPS 가강수량과 포화수증기압의 상관 계수는 강설이 발생하지 않는 기간 동안의 결과와는 달리 양의 상관성을 갖는 것으로 나타났다.